Optimising three-band spectral indices to assess aerial N concentration, N uptake and aboveground biomass of winter wheat remotely in China and Germany

被引:67
作者
Li, Fei [1 ,2 ]
Mistele, Bodo [2 ]
Hu, Yuncai [2 ]
Chen, Xinping [2 ]
Schmidhalter, Urs [3 ]
机构
[1] Inner Mongolia Agr Univ, Coll Ecol & Environm Sci, Hohhot 010019, Peoples R China
[2] Tech Univ Munich, Dept Plant Sci, Chair Plant Nutr, D-85350 Freising Weihenstephan, Germany
[3] China Agr Univ, Coll Resources & Environm Sci, Beijing 100094, Peoples R China
关键词
Band selection; Nitrogen; N status; Hyperspectral indices; Remote sensing; Precision Farming; NITROGEN-USE EFFICIENCY; CHLOROPHYLL CONTENT; CANOPY NITROGEN; VEGETATION INDEXES; REFLECTANCE MEASUREMENTS; GEOGRAPHIC ZONES; SPRING NITROGEN; LEAF; CROPS; PRECISION;
D O I
10.1016/j.isprsjprs.2014.03.006
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Remotely and accurately quantifying the canopy nitrogen status in crops is essential for regional studies of N budgets and N balances. In this study, we optimised three-band spectral algorithms to estimate the N status of winter wheat. This study extends previous work to optimise the band combinations further and identifies the optimised central bands and suitable bandwidths of the three-band nitrogen planar domain index (NPDI) for estimating the aerial N uptake, N concentration and aboveground biomass. Analysis of the influence of bandwidth change on the accuracy of estimating the canopy N status and aboveground biomass indicated that the suitable bandwidths for optimised central bands were 37 nm at 846 nm, 13 nm at 738 nm and 57 nm at 560 nm for assessing the aerial N uptake and were 37 nm at 958 nm, 21 nm at 696 nm and 73 nm at 578 nm for the assessment of the aerial N concentration and were 49 nm at 806 nm, 17 nm at 738 nm and 57 nm at 560 nm for the estimation of aboveground biomass. The optimised three-band NPDI could consistently and stably estimate the aerial N uptake and aboveground biomass of winter wheat in the vegetative stage and the aerial N concentration in the reproductive stage compared to the fixed band combinations. With suitable bandwidths, the broadband NPDI demonstrated excellent performance in estimating the aerial N concentration, N uptake and biomass. We conclude that the band-optimised algorithm represents a promising tool to measure the improved performance of the NPDI in estimating the aerial N uptake and biomass in the vegetative stage and the aerial N concentration in the reproductive stage, which will be useful for designing improved nitrogen diagnosis systems and for enhancing the applications of ground- and satellite-based sensors. (C) 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:112 / 123
页数:12
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